Beth Rudden seated on a panel stage at SXSW EDU, holding a microphone, in her Van Gogh almond-blossom scarf and tan suede boots.

Founder-led AI advisory · Explainable systems

Beth
Rudden

I help executives, boards, and institutions move from AI ambition to auditable deployment: systems they can explain, govern, and defend.

Trustworthy AI starts with institutional judgment.

Bast is focused on healthcare. I reserve limited, premium founder-led advisory capacity for executives and boards in education, publishing, and other high-integrity industries facing the same consequential AI decisions. My edge is the ability to move between the boardroom, business model, ontology, and system design without losing the thread.

Strategy & governance
Clarify where AI can create value, what must remain under human control, and how leadership will govern the risk.
Explainable design
Translate institutional expertise into auditable models, reasoning paths, and systems that can show their work.
Adoption & outcomes
Connect architecture to operating decisions so people can use the system, defend it, and measure what changed.

Founder & CEO of Bast AI · Former IBM Distinguished Engineer · Experience spanning healthcare, education, research, and regulated enterprise

Bast Advisory is the front door. It exposes the real problem, earns institutional trust, and determines whether a Bast deployment is warranted—and whether the organization and Bast are the right fit for one another.

01
Advise
Founder-led counsel to identify the right problem, set the boundaries, and test institutional readiness.
02
Shape
For the right healthcare institution, a Bast Sponsor Customer partnership turns domain expertise into reusable, explainable models.
03
Deploy
Put Bast into operation when the problem, institution, and partnership fit have all been proven.

Explainable, offline-ready medical AI—with the full evidence chain intact.

Featured as the lead story on DVC’s main blog: how Bast uses its data registry as the system of record for an unstructured AI pipeline, making every answer traceable through its context, source page, document version, and pipeline outputs.

Read the case study on DVC →
$1.2M
saved in the first semester, alongside a 12% reduction in nursing-student attrition
Maryville University · Bast AI

Personalized support improved nursing-student retention.

Social learning companions helped nursing students stay engaged while giving Maryville a scalable, explainable path to support.

This is repeatable. Tell me what you're trying to fix →
Founder & CEO
Bast AI
Healthcare AI control infrastructure that has to show its work: source-grounded answers, visible reasoning, provenance, and human control.
Masters of Scale
Strategy Sessions
A conversation on responsible AI with Reid Hoffman and Rana el Kaliouby.
KMWorld Column
Crossing the AI Chasm
Why AI doesn't cross the chasm the way software did.
Book
AI for the Rest of Us
Nominated #1 book to read by Constellation Research.
I started my career in ruins.
I'm one of those people with an insatiable thirst to understand our shared human history. So I did what everyone told me not to and went to school for what I loved. I became an archaeologist, and digging in the dirt gave me a perspective I've found nowhere else. It's the reason I understand both humans and AI.
Read my essays on Substack →

Need to move from AI ambition to a system your institution can explain and defend?
Explore Bast Advisory →  ·  Start the fit check  ·  Full CV